Well Analyst™ – Case Study 2

CASE STUDY 2

ARTIFICIAL LIFT FAILURE PREDICTION


Client

European Operator - France


Technology

Well Analyst™ Downhole Event Monitor


Challenge

Monitor a PCP for indications of when the artificial lift system would fail.


Outcome

The graph presents averaged noise amplitude data together with the max and min torque readings observed at surface during a few minutes every hour. Data gathered by the Well Analyst™ Monitor correlated with rod string torque and four distinct noise / torque peaks were observed before the rod string broke.


Solution

Characteristic noise graphs for each type of artificial lift system can be gathered over time and when correlated with surface observations such as torque can provide a useful predictive and preventative warning to operators allowing AL units to be shut-down and worked over prior to failure, avoiding expensive fishing jobs.